Abstract
Natural Antisense Transcripts (NATs) are a kind of complex regulatory RNAs that play crucial roles in gene expression and regulation. However, the NATs in Cannabis Sativa L., a widely economic and medicinal plant rich in cannabinoids remain unknown. In this study, we comprehensively predicted C. sativa NATs genome-wide using strand-specific RNA sequencing (ssRNA-Seq) data, and validated the expression profiles by strand-specific quantitative reverse transcription PCR (ssRT-qPCR). Consequently, a total of 307 NATs were predicted in C. sativa, including 104 cis- and 203 trans- NATs. Functional enrichment analysis demonstrated the potential involvement of the C. sativa NATs in DNA polymerase activity, RNA-DNA hybrid ribonuclease activity, and nucleic acid binding. Finally, 18 cis- and 376 trans- NAT-ST pairs were predicted to produce 621 cis- and 5,679 trans- small interfering RNA (nat-siRNAs), respectively. These nat-siRNAs were potentially involved in the biosynthesis of cannabinoids and cellulose. All these results will shed light on the regulation of NATs and nat-siRNAs in C. sativa.
Key message
In C. sativa, NATs potentially participated in genetic information processes, growth and development, stress resistance, and the biosynthesis of compounds. Nat-siRNAs were potentially involved in the biosynthesis of CBDs and cellulose.
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Data availability
The RNA-Seq raw data of leaves, roots, and stems have been deposited into the SRA database with the accession numbers SRR17817906, SRR17817907, and SRR17817908, respectively.
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Funding
This work was supported by the Chinese Academy of Medical Sciences Innovation Funds for Medical Sciences (CIFMS) [2021-I2M-1-022], the National Science Foundation of China [81872966], and the National Science &Technology Fundamental Resources Investigation Program of China [2018FY100705]. The funders were not involved in the study design, data collection, analysis, decision to be published, or manuscript preparation.
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Zhang, C., Jiang, M., Liu, J. et al. Genome-wide view and characterization of natural antisense transcripts in Cannabis Sativa L. Plant Mol Biol 114, 47 (2024). https://doi.org/10.1007/s11103-024-01434-z
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DOI: https://doi.org/10.1007/s11103-024-01434-z